Abstract: This paper presents a novel deep learning architecture, the Dual-scale Attribute Graph Transformer (DAGT), for extracting spatial-temporal features from attributed graph data. DAGT addresses ...

Hyperspectral images (HSIs) have very high dimensionality and typically lack sufficient labeled samples, which significantly challenges their processing and analysis. These challenges contribute to ...

Neo4j, the graph database from the US-Swedish company of the same name, is used by 76% of the Fortune 100, and its Australian customers include organisations in the healthcare, policing and banking ...

We evaluate two representative tensor compiler backends, CINN (PaddlePaddle) and TorchInductor (PyTorch), on GraphNet's NLP and CV subsets. The evaluation adopts two quantitative metrics proposed in ...

In this tutorial, we’ll show how to create a Knowledge Graph from an unstructured document using an LLM. While traditional NLP methods have been used for extracting entities and relationships, Large ...

Introduction: Adolescent suicide is a critical public health concern worldwide, necessitating effective methods for early detection of high suicidal ideation. Traditional detection methods, such as ...

Easy Animal Drawings Using Hand Shapes!! China blocks Boeing deliveries in retaliation to Trump tariffs Powerful Tugboats Pull Massive $13 Billion US Aircraft Carrier to the Ocean Huge burger chain ...

Easy Animal Drawings Using Alphabet Letters!! Arkansas to become first state to cut ties with PBS: 'Not feasible' With the penny going away, what should you do with the ones in your coin jar? Dacora ...

Abstract: Graph Neural Networks (GNNs) have recently achieved remarkable success in various learning tasks involving graph-structured data. However, their application to multi-relational graph anomaly ...

DOHA, Feb 23 (Reuters) - Qatar's government has signed a five-year deal with AI data company Scale AI to deploy AI-powered tools and training in a push to improve government services in the Gulf Arab ...